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We’re hiring an Analytics Engineer to help our internal teams get the most out of our data. You’ll work directly with stakeholders across the business—Sales, Marketing, Product, Finance, and beyond—to understand their goals and translate them into reliable, scalable data models. In this role, you’ll act as both a trusted technical advisor and a strategic partner, ensuring that our data warehouse and analytics layer empower teams to answer questions with confidence. Your work will have a direct and visible impact by creating clean, well-modeled datasets and intuitive reporting structures that make it easy for non-technical users to access insights. You’ll help us move faster, make better decisions, and turn raw data into real, measurable business impact. You’ll say no to activities that don’t help the business drive more revenue.
Job Responsibility:
Work with all areas of the business to understand their objectives and how you can aid them in make high quality decisions, fast and consistently.
Develop strong working relationships with leaders in all areas in the business to allow for continuous adaptation to changes in the business.
Develop data oriented solutions in the form of data models and systems that drive immediate business value and are strong enough to last
Troubleshoot complex data issues and guide internal teams toward best practices. Ensure data quality and consistency by investigating discrepancies and improving upstream data processes.
Prioritize projects across multiple departments while maintaining high quality and responsiveness.
Contribute to internal tooling, documentation, and knowledge sharing to uplevel the team. Build standards, playbooks, and internal data products that make the analytics function more effective and scalable.
Measure and communicate the business impact of your work with stakeholders. Demonstrate how your models and pipelines drive outcomes like revenue growth, efficiency gains, or improved decision-making.
Requirements:
3+ years working as an analytics engineer, data engineer, data scientist or similar
Strong SQL skills and hands on experience working with cloud data warehouses
Hands-on experience building complex data models with dbt
Hands-on experience with Looker or Omni Analytics
Experience designing data models/systems to be used by dozens of users
Ability to differentiate between high vs low business impact activities
Ability to communicate clearly with both technical and non-technical audiences.
Ability to balance immediate business needs with long term usability
A high level of ownership of their work and is excited for more responsibility
Thinks like a business analyst and executes like a software engineer
Nice to have:
Experience working with the Hightouch product
Experience working with all areas of a business at once (sales/marketing/finance/product)
Experience being the singular data practitioner at a company
What we offer:
meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window
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